نتایج جستجو برای: weed biomass

تعداد نتایج: 73899  

2010

• Solarization Stapleton, J. J., Molinar, R. H., Lynn-Patterson, K., McFeeters, S. K., and Shrestha, A. 2005. Methyl bromide alternatives. Soil solarization provides weed control for limited-resource and organic growers in warmer climates. California Agriculture 59 (2):84-89. PDF Abstract: This paper describes the use of soil solarization technology for weed management, as conducted by the Univ...

Journal: :بوم شناسی کشاورزی 0
احمد زارع فیض آبادی غلامحسین ساربان هادی خزاعی

in order to compare of ecological management of weed control on economical income, yield and yield components of cotton (gossypium hirsutum l.), a randomized complete block design with 12 treatments and four replications was conducted in mahvelat of khorasan razavi province, iran. treatments consisted of weeding, harrowing, burning, two times weeding, weeding + harrowing, weeding + burning, har...

Journal: :حفاظت گیاهان 0
محمد حسن راشد محصل کمال حاج محمدنیا قالی باف سید احمد حسینی

abstract in order to study of chemical and mechanical weed management methods and their integration in potato (solanum tuberosum), a field experiment was done in 2008 at ferdowsi university of mashhad research field. experimental design was completely randomize block design with 6 treatments and 3 replications. treatment included broadcast herbicide application (standard treatment), between row...

1999
J. H. Miller

Intensive vegetation management alters seedling growth and development in southcm pine plantations. Adequate light, moisture. and nutrients stimulate seedling stem growth and crown development. Thus rapid stem growth could deplete nutrient and energy resources required for aggressive rcot growth. Early root system expansion within the available rooting zone is critical because structural root g...

Journal: :Philosophical transactions of the Royal Society of London. Series B, Biological sciences 2003
M S Heard C Hawes G T Champion S J Clark L G Firbank A J Haughton A M Parish J N Perry P Rothery R J Scott M P Skellern G R Squire M O Hill

We compared the seedbanks, seed rains, plant densities and biomasses of weeds under two contrasting systems of management in beet, maize and spring oilseed rape. Weed seedbank and plant density were measured at the same locations in two subsequent seasons. About 60 fields were sown with each crop. Each field was split, one half being sown with a conventional variety managed according to the far...

A study was carried out over 2 years (2008/2009 and 2009/2010) in Greece, in order to evaluate the weed control using reduced rates of the herbicide mesosulfuron-methyl+iodosulfuron-methyl-sodium of four major weeds (Avena sterilis, Phalaris minor, Papaver rhoeas and Sinapis arvensis), grain yield and yield components of five wheat cultivars (Bob, Cosmodur, Meridiano, Quadrato and Simeto). The ...

2008
S. ROGERS T. IOSEFA

This paper discusses the potential benefits from shade management in agroforestry systems for taro cropping. Trial work to evaluate weed growth, taro production, and cultivar responses to shade levels are reviewed. It is concluded that weed growth can be reduced in tree-shaded plots without reducing corm production. Higher crop biomass is obtained when taro is grown under fifty percent shade co...

2013
W. H. Gera Hol Wietse de Boer Freddy ten Hooven Wim H. van der Putten

Plant-soil feedback (PSF) and plant competition play an important role in structuring vegetation composition, but their interaction remains unclear. Recent studies suggest that competing plants could dilute pathogenic effects, whereas the standing view is that competition may increase the sensitivity of the focal plant to PSF. In agro-ecosystems each of these two options would yield contrasting...

Journal: :Eng. Appl. of AI 2009
Gláucia M. Bressan Vilma Alves de Oliveira Estevam R. Hruschka Maria do Carmo Nicoletti

This paper describes the modeling of a weed infestation risk inference system that implements a collaborative inference scheme based on rules extracted from two Bayesian network classifiers. The first Bayesian classifier infers a categorical variable value for the weed–crop competitiveness using as input categorical variables for the total density of weeds and corresponding proportions of narro...

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